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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to end of March 2029 Base salary will
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Engineering in the 2025 QS World University Rankings by Subjects. The postdoctoral fellow will work in a laboratory that was one of the pioneers in the field of neuromorphic computing, and one that has
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to end of September 2029 Base salary
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of Research Assistant, the appointee will also be required to support sensor development, data acquisition and logging, hardware / software integration, calibration, testing, and routine operation of
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reports, and peer-reviewed publications. Required Qualifications: Terminal degree in astronomy, physics, astrophysics, aerospace engineering, electrical engineering, computer engineering, or a closely
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resolution, sufficient SNR, and reliable functional imaging performance. Balancing scientific novelty with practical constraints related to computation, hardware limitations, reproducibility, and translation
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with hardware acceleration techniques Familiarity with computational neuroscience tools and libraries Experience with large-scale clinical, omics, or imaging datasets. Interdisciplinary Collaboration
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: • Contributing to the design and development of new laboratory capabilities including gas delivery manifolds, thin film deposition and thickness verification, vacuum hardware, photolysis setups. • Carrying out
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
systems, fluidics, engineering, and computational modeling. A major focus is a newly funded NIH R01 investigating pediatric graft-versus-host disease through integrated intestinal, hepatic, immune, and
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software